Software Engineering Manager

JR United Kingdom; Hemel Hempstead; Remote; GBP 115,000 - 133,000; Full time

Job summary

A fast-growing Infrastructure-as-a-Service (IaaS) provider seeks a proactive Software Engineering Manager in Hemel Hempstead. This role involves leading agile teams, fostering innovation, and managing development processes within the GPU cloud sector. Ideal candidates display strong leadership, a robust DevOps background, and have experience in high-tech environments.

Qualifications

• Proven experience leading software development teams.
• Strong background in DevOps and cloud-native development.
• Fluency with Agile/DevOps workflows.

Responsibilities

• Lead agile engineering teams across the full SDLC.
• Drive architectural decisions and best practices.
• Mentor engineers to grow technically and professionally.

Skills

Leadership

Agile Methodology

DevOps

Problem Solving

Cloud-Native Development

Education

Agile certifications (Scrum Master, PMP, etc.)

Tools

Jira

Confluence

Terraform

Kubernetes

Job description

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Software Engineering Manager, hemel hempstead

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Client:

ByteHire

Location:

hemel hempstead, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Job Role: Software Engineering Manager

Reference: BH-353p

Job Type: Permanent

Location: Remote, UK residents

Salary: Up to £115,000 per annum

About The Client:

Our client is a rapidly growing Infrastructure-as-a-Service (IaaS) provider driving digital transformation.

Overview:

We are seeking a proactive and technically adept Software Engineering Manager to lead and inspire high-performing, cross-functional development teams. You will be pivotal in scaling engineering operations, fostering agile innovation, and taking end-to-end ownership of development processes. This is an opportunity to lead in a fast-moving scale-up environment within the GPU cloud industry, where creativity, fluidity, and accountability are essential.

Key Responsibilities:

• Lead agile engineering teams across the full SDLC, from ideation to deployment, in a collaborative and high-impact environment.
• Drive architectural decisions and development best practices across technologies like Python, React, Kubernetes, object storage, Terraform, and both Linux/Windows deployments.
• Encourage a culture of creative problem-solving, A/B testing of processes, and continuous experimentation to improve team velocity and release cadence.
• Foster a healthy, inclusive, and resilient team culture. Actively mentor engineers to grow technically and professionally.
• Lead your teams through defects in production, complex troubleshooting, and process streamlining under pressure.
• Apply a DevOps mindset with knowledge of CI/CD, IaaS, deployment architectures, and GPU-based infrastructure.
• Oversee and optimise development operations using tools such as Jira and Confluence. Take full ownership of technical processes, tech debt, and improvement strategies.
• Partner with Directors, AI Leads, and Infrastructure Leads to align software outcomes with business goals.
• Leverage your understanding of AI tooling and modern frameworks (e.g. LangChain, DeepSeek) to guide effective integration into internal platforms.

Requirements/experience:

• Proven experience leading software development teams in a scale-up or fast-growth tech environment
• Strong background in DevOps, cloud-native development, and infrastructure-as-a-service (IaaS)
• Experience managing complex software systems, integrating AI tooling, and building scalable products
• Experience with platforms like AWS, DigitalOcean, and on-prem setups is helpful.
• Fluency with Agile/DevOps workflows, Jira/Confluence, and cloud-native tooling (e.g. Terraform, Kubernetes)
• Excellent interpersonal, leadership, and analytical skills
• Able to creatively solve complex problems and continuously improve delivery processes
• Agile certifications (Scrum Master, PMP, or equivalent)
• Hands-on with CI/CD pipelines, database triggers, containerisation, and cloud infrastructure
• Experience with cloud GPU platforms (e.g., Lambda Labs, FluidStack, CoreWeave)
• Familiarity with software delivery in hybrid environments (cloud, on-prem, hosted)